Evidence map›Paper›PMID 40529583›Full record

ReviewFrontiers in microbiology2025

Endolysins and membrane-active peptides: innovative engineering strategies against gram-negative bacteria.

Monika Wojciechowska

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
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  12. Biofabrication ofPharmaceutics · 2026
    Article
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  15. Article
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  19. Wound-Healing Potential of Engineered Lysin GRC-ML07 inAntibiotics (Basel, Switzerland) · 2025
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Monika WojciechowskaUniversity of Warsaw, Centre of New Technologies, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endolysins, bacteriophage-encoded peptidoglycan hydrolases, offer promising potential in antibacterial therapy, including treatments targeting gram-negative bacteria. While these enzymes naturally act primarily on gram-positive bacteria, their application against gram-negative pathogens is more challenging due to the presence of a dual-layer cell membrane, which acts as a protective barrier. However, innovative approaches, such as fusing endolysins with antimicrobial peptides (AMPs), have demonstrated increased efficacy against gram-negative bacteria. Modifying endolysins by introducing hydrophobic properties or positive charges or combining them with agents that disrupt the outer membrane enhances their bactericidal activity. Moreover, phage endolysins that exhibit activity against gram-negative bacteria are a promising source of membrane-active peptides. Identifying new peptide sequences derived from endolysins capable of penetrating the bacterial cell membrane represents a novel and increasingly explored research direction. Studying these innovative strategies had yielded promising results, though the field remains under active investigation and development. Ongoing efforts aim to optimize these approaches to improve their effectiveness against antibiotic-resistant gram-negative bacterial strains, which are particularly difficult to treat with conventional antibiotics. This review summarizes the latest advancements and solutions in the field, highlighting the potential of endolysins and membrane-active peptides as next-generation antibacterial agents.

Indexed as

antibioticsantimicrobial agentsantimicrobial peptidesbacteriophageendolysinsgram-negative bacteriapeptides

Identifiers

PMID40529583
PMCPMC12170589

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.